Experimental Study ۰f Drag Reduction Phenomena in the Horizontal Tube with Nano SiO۲ by Neural Network - Genetic Algorithm

In this study, nano-silica oxide's effect as a Drag Reducing Agent (DRA) of water flow in a ۱۲.۷ and ۲۵.۴ mm galvanized pipe was investigated. The studied parameters include Nano silica oxide concentration, Flow rate, temperature,  and tube pipe diameter. To develop the conditions in preparing the Nano-particle on Drag Reduction (DR), nano-particles were provided in the top water-based fluid. To have a comprehensive analysis of process folding conditions, the experiments were carried out with three different drag-reducing concentration agents with three various temperatures and three different flow rates. Moreover, as a new method in this study, the experimental (Drag reduction percent) outputs were evaluated and analyzed using the Artificial neural network which is optimized by a genetic algorithm. In the consequence of algorithm genetic, the highest rate of drag reduction occurred at a horizontal pipeline ۱۲.۷ mm, temperature ۴۱.۰۷ °C, and a concentration of ۰.۶۲۸ with a ۱۴۴۱.۸۴ flow rate was ۲۵.۸۴%.

کلیدواژه ها:

Drag reduction ، Pipeline ، Nano SiO۲ ، Neural network ، single phase